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Found 6412 publications

Handheld 3D Scanning and Image Processing for Printing Body Parts - A Workflow Concept and Current Results

Anna Sudar György Wersényi Thomas Wittenberg

Publication Name: 2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 61-68

Description:

The combination of current technical possibilities of handheld 3D scanning devices, 3D data analysis and interaction, and novel 3D bioprinting technologies has opened the way to develop workflows and scenarios for the generation of personalized human prosthesis. Specifically, using the human ear as one example to develop a cost-effective chain of methods and tools, the above mentioned combined and interacting technologies can be used to understand and demonstrate the possibilities for rapid bio prototyping. Production workflows for personalized soft-material bio-prosthesis gain significance in reconstructive and plastic surgery. This paper introduces a workflow concept, presents a list of appropriate and accessible state-of-the-art handheld scanners, followed by an image processing solution based on the MeshLab application and printing first prototypes.

Open Access: Yes

DOI: 10.1109/IoD55468.2022.9987113

Social Innovation Achieved in a Development Trap: Examples of Local Efforts in Hungary

Réka Horeczki Petra Kinga Kézai Nóra Baranyai

Publication Name: Social Sciences

Publication Date: 2026-01-01

Volume: 15

Issue: 1

Page Range: Unknown

Description:

This study explores how social innovation and multi-level governance (MLG) can enhance regional resilience and help overcome the Middle-Income Trap (MIT) through cooperative, community-driven strategies. Focusing on Hungarian self-governments, it examines twinning partnerships—formal relationships between settlements—as potential catalysts of social innovation and regional cohesion. A nationwide questionnaire survey (Number of settlements surveyed: 409; representative by settlement type) conducted between 2024 and 2025 evaluated the motivations, intensity and impacts of these partnerships. The findings reveal that intraethnic twinning networks are more socially active and locally grounded, strengthening community identity and civic participation, even though they provide limited direct economic benefits. By fostering trust, collaboration, and cross-border interaction, these partnerships act as effective platforms for social innovation, supporting more inclusive and territorially integrated development across Central and Eastern Europe.

Open Access: Yes

DOI: 10.3390/socsci15010019

Performance of Low-Cost Air Temperature Sensors and Applied Calibration Techniques—A Systematic Review

István Mihály Kulmány Laszló Bede Sándor Zsebő Dávid Stencinger Zainulabdeen Khalaf Hashim Bálint Horváth Jabir Ali Abdinoor Gergő Hegedüs Ali Ijaz Zainulabdeen Khalaf Hashim

Publication Name: Atmosphere

Publication Date: 2025-07-01

Volume: 16

Issue: 7

Page Range: Unknown

Description:

Low-cost air temperature sensors are an emerging theme in environmental monitoring. These sensors offer the advantage of making microclimate monitoring feasible due to their affordability. However, they are limited by the quality of the data they provide; in many cases, they have been reported to have presented errors in the sensor readings. These errors have been shown to improve after calibration was applied. The lack of a comprehensive understanding of the available calibration techniques, models, and sensor types has led to studies presenting heterogeneity in models and techniques alongside different performance metrics. To address this gap, this study conducted a systematic review following the PRISMA guidelines, reviewing studies from 2015 to 2024 across the databases Web of Science and Scopus, alongside the search engine Google Scholar. The aim was to identify the calibration techniques and models, the commercially available low-cost air temperature sensors used, the performance metrics utilised, and the calibration settings. The findings presented three main categories of calibration models utilised in the collected studies: linear, polynomial, and machine learning. Twenty-two commercially available low-cost sensors were identified, with the DHT22 sensor being the most utilised. Indoor settings were identified as the most preferred for conducting calibrations. Key challenges included limitations in reported results for calibration by the studies, the use of different performance metrics across studies, insufficient studies conducting calibration, and the diversity in sensor types utilised.

Open Access: Yes

DOI: 10.3390/atmos16070842

Origmatrachys tchecpoensis sp. nov.: the second species of the genus Origmatrachys in Africa and the first representative of the family Trachyuropodidae in Togo (Acari: Uropodina)

Sergey G. Ermilov Jenő Kontschán

Publication Name: International Journal of Acarology

Publication Date: 2025-01-01

Volume: 51

Issue: 3

Page Range: 216-221

Description:

The herein described new species, Origmatrachys tchecpoensissp. nov. is the second representative of the genus Origmatrachys in Africa, and it is the first record of the family Trachyuropodidae in Togo. The new species differs from the already described Afrotropical Origmatrachys in the absence of a network of strongly sclerotized grooves on the dorsal and ventral shields and in the sculptural pattern of the female genital shield. A new list of the African Trachyuropodidae is also presented. http://www.zoobank.org/urn:lsid:zoobank.org:pub:D1138A5E-2927-4DD3-890D-AD5A84495102 http://www.zoobank.org/urn:lsid:zoobank.org:act:25A8F54D-7B4E-4F2B-A2B3-FA5E92826036.

Open Access: Yes

DOI: 10.1080/01647954.2025.2479552

Susceptibility mapping for land subsidence and collapsed pipes in north-east Iran

Adel Sepehr Mehran Rezaei Rashti Narges Kariminejad Vahid Shafaie

Publication Name: Advanced Tools for Studying Soil Erosion Processes Erosion Modelling Soil Redistribution Rates Advanced Analysis and Artificial Intelligence

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 579-594

Description:

Land subsidence and collapsed pipes are considered among geomorphological hazards, causing significant damages annually in the form of direct and indirect costs. These hazards lead to notable changes in the landscape, land degradation, soil and water losses, and regional erosion and sedimentation. Consequently, the effective management of these hazards and the determination of relationships between their environmental factors for quantitative susceptibility assessment are of utmost importance. A trustworthy evaluation depends on the quality of available data and the selection of appropriate analytical and modeling methods. Given that no comprehensive study on land subsidence and collapsed pipes in Razavi Khorasan Province has been conducted so far and considering that the land degradation resulting from plain land subsidence and collapsed pipes are among the primary threatening hazards for the country and the province, particularly in recent years, the use of proper analytical and modeling methods for comprehensive and integrated management seems essential. This research was conducted using high-resolution satellite imagery in Razavi Khorasan Province. In this study, topographical and hydrological feature maps were prepared using a digital elevation model based on the boundaries of Razavi Khorasan Province. Physical and chemical tests were conducted on 624 soil samples collected throughout the province, and their raster maps were produced. Data pertaining to vegetation cover, land use maps, geology, and regional precipitation were also prepared and used as inputs for the models. The spatial locations of land subsidence and collapsed pipes across the province were identified in subsequent phases. Following this, using statistical and data mining methods, spatial modeling of the land subsidence and collapsed pipes was performed, and the best regional model for their evaluation was chosen. The AUC numerical value for both the support vector machine (SVM) and maximum entropy (ME) models ranges between 0.8 and 0.9, indicating an excellent evaluation of the models used in zoning the land subsidence. Ultimately, the ability to recognize the behavior and formation conditions of these hazards, to identify areas with greater susceptibility, to present a risk management model for land subsidence and collapsed pipes, and to distinguish critical and susceptible areas for land subsidence and collapsed pipes, along with their control methods, was provided. Notably, the SVM algorithm demonstrated superior efficacy in this study. The insights derived from identifying erosional structures of collapsed pipes and land subsidence and understanding their spatial interrelationships offer a robust foundation for devising timely and strategic management interventions in affected domains.

Open Access: Yes

DOI: 10.1016/B978-0-443-22262-7.00010-2

Vector hysteresis measurement and simulation

Miklós Kuczmann

Publication Name: Przeglad Elektrotechniczny

Publication Date: 2009-12-01

Volume: 85

Issue: 12

Page Range: 92-95

Description:

The paper presents a Preisach model of hysteresis to simulate the vector hysteresis properties of ferromagnetic materials. The vector behavior has been studied using a single sheet tester with a round shaped specimen at low frequency, and the magnetic flux density vector has been controlled. An inverse vector Preisach hysteresis model has been developed and identified by applying the measured data. Finally, the inverse model has been inserted into a finite element procedure to study numerically the measurement system.

Open Access: Yes

DOI: DOI not available

Green Thinking - Green Positions

Szigeti Cecília Dániel Róbert Szabó Tamás Németh

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 403-408

Description:

There are different definitions and conceptual approaches to ‘green jobs’ (‘green’ meaning to be related to the environmental pillar of sustainability). It is generally accepted that green jobs are those that contribute in some way to the preservation or restoration of the natural environment. The conceptual diversity also creates many difficulties in measuring them, mainly because they do not constitute a clearly defined sector of the labor market. In this study, the authors first compared conceptual approaches with corporate communication. The research is exploratory in nature, so at this stage, the authors looked at companies where communication with employees is considered to be a key issue (these companies are referred to as 'leading companies'). They were defined as having won for two consecutive years at least one of the awards/recognitions studied. The authors looked for ‘green’ attributes among the ‘leading companies’ in online job advertisements. The novelty of the research lies in the detailed analysis of green jobs and green-collar jobs and the labor market communication of these concepts, which may also answer the question of whether the green attributes of the jobs or the jobs themselves are attractive to prospective employees. The most important finding of the research is that the "green idea" is rarely mentioned in job advertisements of the companies surveyed. In line with the literature, the results show that even leading companies do not use sustainability as a message to attract employees.

Open Access: Yes

DOI: 10.3303/CET23107068

Mathematical Analysis of Real-Time Data Processing Methods for IoT Applications Based on Hesitant Bipolar Fuzzy Dombi Power Operators

Dragan Pamucar Tahir Mahmood Hafiz Muhammad Waqas Ubaid Ur Rehman

Publication Name: Systems and Soft Computing

Publication Date: 2026-06-01

Volume: 8

Issue: Unknown

Page Range: Unknown

Description:

The rapid growth of Internet of Things (IoT) technologies has made real-time data processing a critical component for efficient monitoring, analysis, and intelligent decision-making in dynamic and large-scale environments. IoT systems continuously generate massive volumes of heterogeneous data that must be processed with minimal latency to ensure timely responses and reliable system performance. Effective real-time data processing enables IoT applications to adapt to changing conditions, enhance operational efficiency, improve safety and reliability, and support time-sensitive services in domains such as smart cities, healthcare monitoring, industrial automation, and intelligent transportation systems. This study presents a comprehensive mathematical framework for the analysis of real-time data processing methods for IoT applications based on hesitant bipolar fuzzy (HBF) Dombi power operators. The proposed model is designed to effectively capture uncertainty, hesitation, and bipolar information that naturally arise in real-world IoT environments due to incomplete, imprecise, and conflicting data sources. By incorporating a multi-criteria decision-making (MCDM) approach, multiple real-time data processing techniques are systematically evaluated and prioritized with respect to several performance-related attributes. The proposed HBF Dombi power-based framework offers a reliable and transparent mechanism for comparing competing real-time data processing strategies and selecting the most suitable method for specific IoT scenarios. The results indicate that the proposed approach improves decision accuracy and supports better alignment between data processing methods and the complex operational requirements of modern IoT systems. This work contributes both theoretical insights and practical guidance for the design and evaluation of efficient, adaptive, and intelligent real-time IoT data processing architectures.

Open Access: Yes

DOI: 10.1016/j.sasc.2026.200444

Effect of Maleated Compatibilizer on the Mechanical Properties of PLA/Mustard Waste Biocomposites

László Lendvai Tej Singh Sándor K. Jakab

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 775-780

Description:

Natural fiber polymer composites of biodegradable poly(lactic acid) (PLA) and mustard waste were fabricated with the addition of various amounts (0.25-2.00 wt.%) of maleic anhydride grafted PLA (PLA-g-MA), which was used as a coupling agent to improve interfacial adhesion between the components and thereby enhance the mechanical features of the biocomposite. PLA-g-MA was synthesized in-house by reactive melt grafting using dicumyl peroxide as a free grafting initiator. Preparation of the biocomposite samples was carried out using a twin screw extruder and an injection molding machine. The effect of PLA-g-MA concentration on the samples’ mechanical traits and surface hardness was investigated. Mechanical properties were determined using uniaxial tensile tests, flexural tests, and Charpy impact tests; additionally, the surface hardness was tested with a Shore D indenter. The tensile tests revealed that even the lowest amount (0.25 wt.%) of PLA-g-MA was sufficient to effectively improve the interfacial adhesion between PLA and mustard waste, as manifested in an increased tensile strength (34 to 39 MPa). Similarly, the flexural and the Charpy impact strength also exceeded that of neat PLA/mustard waste biocomposite by 31 % and 45 %, respectively. The addition of compatibilizer in higher concentrations than 0.25 wt.% did not improve the mechanical properties further, ascribed to the excess PLA-g-MA plasticizing the composite. Based on Shore D testing, the compatibilization did not affect the surface hardness of the biocomposites significantly.

Open Access: Yes

DOI: 10.3303/CET24114130